Palo Alto Research Center Inc.

Shekhar Gupta

Johan De Kleer

Christian Fritz

Daniel H Greene

Robert Roy Price

Ion Matei

Matthew Klenk

Kyle D Dent

Marzieh Nabi-Abdolyousefi

The following relates generally to computer system efficiency improvements. Broadly, systems and methods are disclosed that improve efficiency in a cluster of nodes by efficient processing of tasks among nodes in the cluster of nodes. Assignment of tasks to compute nodes may be based on learned CPU capabilities and I/O bandwidth capabilities of the compute nodes in the cluster.

Dynamically adaptive, resource aware system and method for scheduling

The following relates generally to computer system efficiency improvements. Broadly, systems and methods are disclosed that improve efficiency in a cluster of nodes by efficient processing of tasks among nodes in a cluster of nodes. Initially, tasks may be scheduled on the nodes in the cluster of nodes. Following that, state information may be received, and a determination may be made as to if tasks should be rescheduled.

Job scheduler for distributed systems using pervasive state estimation with modeling of capabilities of compute nodes

A system and method schedules jobs in a cluster of compute nodes. A job with an unknown resource requirement profile is received. The job includes a plurality of tasks. Execution of some of the plurality of tasks is scheduled on compute nodes of the cluster with differing capability profiles. Timing information regarding execution time of the scheduled tasks is received. A resource requirement profile for the job is inferred based on the received timing information and the differing capability profiles. Execution of remaining tasks of the job is scheduled on the compute nodes of the cluster using the resource requirement profile.

System and method for efficient task scheduling in heterogeneous, distributed compute infrastructures via pervasive diagnosis

One embodiment of the present invention provides a system for providing assistance to a user of a product in diagnosing faults in the product. During operation, the system receives, at a help server, data associated with current and/or past operation of the product; performs an optimization to determine a sequence of diagnostic actions that is expected to maximize a net benefit to the user. The sequence of diagnostic actions includes one or more actions that require the user to perform at least one task, and performing the optimization involves accounting for costs to the user for performing the at least one task and savings to the user for correcting the faults. The system then interacts with the user, which involves presenting the sequence of diagnostic actions to the user.

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Mountain View, CA, United States of America

Shekhar Gupta